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Articles 1201 - 1230 of 25539
Full-Text Articles in Entire DC Network
An Assessment And Comparison Of Expert System Performance And Large Language Model Performance, Carter A. Lange
An Assessment And Comparison Of Expert System Performance And Large Language Model Performance, Carter A. Lange
ATU Honors Projects
This study compares the performance of knowledge-based expert systems (KBES) and large language models (LLMs) in narrow-domain tasks. Using Akinator as the representative KBES and ChatGPT as the representative LLM, fifty character-identification trials were conducted. Results show that both systems ultimately succeeded in identifying all characters, but their efficiency and accuracy differ. Akinator required fewer incorrect guesses and produced no identifiable total failures, or “errors,” while ChatGPT occasionally erred beyond possible continuation despite similar average guess counts. Statistical analysis revealed no significant difference in the number of questions required before success, but McNemar’s test indicated that ChatGPT made significantly more …
Jer-2021 Assistance To The State Water Resources Research Institute Program (Year 1 Of 5) For The 104(B) Program, David Tarboton
Jer-2021 Assistance To The State Water Resources Research Institute Program (Year 1 Of 5) For The 104(B) Program, David Tarboton
Funded Research Records
No abstract provided.
Bcser: Learning Analytics For Process-Driven Computer Programming Assignments, Hamid Karimi
Bcser: Learning Analytics For Process-Driven Computer Programming Assignments, Hamid Karimi
Funded Research Records
No abstract provided.
Predicting Skin Concern Severity From Genetic And Lifestyle Factors: A Comparative Multi-Output Machine Learning Framework, Yassine Benachour, Lina Maloukh, Sadok Bouamama, Barbara Geusens
Predicting Skin Concern Severity From Genetic And Lifestyle Factors: A Comparative Multi-Output Machine Learning Framework, Yassine Benachour, Lina Maloukh, Sadok Bouamama, Barbara Geusens
All Works
Personalized dermatology increasingly leverages both genetic predispositions and lifestyle behaviors to model individual skin health outcomes. This study proposes a multi-output machine learning framework to predict the severity of six dermatological phenotypes—acne, redness, dryness, sensitivity, scarring, and pigmentation—using a multimodal dataset of 5,254 individuals. Input features include mutation profiles for six skin-related genes (FLG, MMP1, MMP3, AQP3, SOD2, GPX) and 22 lifestyle variables such as sun exposure, stress, and hydration. We train and evaluate LightGBM models under independent, multi-output, and chained configurations. Performance is assessed using Mean Absolute Error (MAE) and average Quadratic Weighted Kappa (QWK). The proposed ordinal-aware independent …
The Echo: December 8, 2025, Taylor University
The Echo: December 8, 2025, Taylor University
2025-2026 (Volume 113)
No abstract provided.
Board Of Directors Meeting Minutes (December 8, 2025), Dmacc
Board Of Directors Meeting Minutes (December 8, 2025), Dmacc
Board of Directors Meeting Minutes
This file contains the minutes from the Des Moines Area Community College Board meeting held on December 8, 2025.
Spike Timing Depended Plasticity Produces Unsupervised Learning Of Synergistic Muscle Feedback In A Synthetical Neural Network, Mark Allen Pupkiewicz
Spike Timing Depended Plasticity Produces Unsupervised Learning Of Synergistic Muscle Feedback In A Synthetical Neural Network, Mark Allen Pupkiewicz
Dissertations and Theses
This study investigates how type Ia feedback from muscle spindles can be organized into groups representing agonistic muscle pairs through Spike Timing Dependent Plasticity (STDP). A single degree of freedom joint is actuated with four biologically modeled muscles forming two agonistic pairs. In order to emulate the sensory dynamics of biological muscle spindles, sensors in the model record the active length and velocity states of each muscle, the two primary factors eliciting type Ia afferent responses. In biological networks, synapses from Ia sensory neurons frequently activate interneurons representing agonistic muscle sources. This research investigates whether this organization can emerge in …
Mitochondrial Insoluble Aggregates In Aging And Alzheimer’S Disease Models: Cross-Species Proteomic Integration, Identification Of Conserved Candidates, And Pharmacological Disruption Of Eef-2 Interactions, Sonu Pahal
Theses and Dissertations
Protein aggregation within mitochondria emerges early in both aging and Alzheimer’s disease (AD) and contributes to progressive loss of proteostasis. Insoluble mitochondrial aggregate fractions from Caenorhabditis elegans revealed extensive enrichment of metabolic and translational proteins that also appear in human Alzheimer hippocampal aggregates. Comparative analysis across age and genotype identified a conserved subset of aggregation-prone proteins, several of which cluster around elongation factor 2 (eEF-2), a regulator of ribosomal translocation and energy coupling. Cross-species integration defined a network in which eEF-2 links chaperones, metabolic enzymes, and RNA-binding proteins that co-aggregate in both human Alzheimer material and nematode models. Functional tests …
Cv: Erica Kwiatkowski-Egizio (Educational Studies, Secondary Education)), Erica Kwiatkowski-Egizio
Cv: Erica Kwiatkowski-Egizio (Educational Studies, Secondary Education)), Erica Kwiatkowski-Egizio
Education Department Faculty Curricula Vitae
No abstract provided.
Career: End-To-End Active Region-Based Heliospheric Forecasting System Using Multi-Spacecraft Data And Machine Learning, Soukaina Filali Boubrahimi
Career: End-To-End Active Region-Based Heliospheric Forecasting System Using Multi-Spacecraft Data And Machine Learning, Soukaina Filali Boubrahimi
Funded Research Records
No abstract provided.
Wf-2453 Post-Wildfire Hydrogeomorphic Risk Management Assessment, Belize A. Lane
Wf-2453 Post-Wildfire Hydrogeomorphic Risk Management Assessment, Belize A. Lane
Funded Research Records
No abstract provided.
Nsf Convergence Accelerator Track (H): Automating Transportation Affordances For People Living With Disabilities Using A Machine Learning Approach, Brent Chamberlain
Nsf Convergence Accelerator Track (H): Automating Transportation Affordances For People Living With Disabilities Using A Machine Learning Approach, Brent Chamberlain
Funded Research Records
No abstract provided.
Assessing The Efficacies Of Passive Versus Active Restoration On Heavily Disturbed Cattle-Grazing Sites In The Mojave National Preserve, Kari Veblen
Funded Research Records
No abstract provided.
Wg-2413 Remote Sensing Of Wine-Grapevine Transpiration For Improving Vine Water Status, Alfonso Faustino Torres
Wg-2413 Remote Sensing Of Wine-Grapevine Transpiration For Improving Vine Water Status, Alfonso Faustino Torres
Funded Research Records
No abstract provided.
Collaborative Research: Cif: Medium: Foundations Of Robust Deep Learning Via Data Geometry And Dyadic Structure, Kevin Moon
Funded Research Records
No abstract provided.
Shine: Understanding The Relationships Of Photospheric Vector Magnetic Field Parameters In Solar Flare Occurrences Using Graph-Based Machine Learning Models, Shah Hamdi
Funded Research Records
No abstract provided.
Dynamicslab: Interactive Physics Simulations For Intermediate Classical Mechanics, John M. Edwards, Boyd Farrell Edwards, Hillary L. Swanson
Dynamicslab: Interactive Physics Simulations For Intermediate Classical Mechanics, John M. Edwards, Boyd Farrell Edwards, Hillary L. Swanson
Funded Research Records
No abstract provided.
Understanding Ecological Processes For Restoring Rare Plant Species To Their Native Habitats Under Increasing Land Use And Changing Regional Climate, Kari Veblen
Funded Research Records
No abstract provided.
Tidal Interactions In Strong Field Gravity, Maria Jose Rodriguez
Tidal Interactions In Strong Field Gravity, Maria Jose Rodriguez
Funded Research Records
No abstract provided.
Collaborative Research: Evolution Of The Tristan-Gough-Walvis Ridge Hotspot System: Age And Composition Of Expedition 391/397t Volcanic Basement, Katherine Elizabeth Potter
Collaborative Research: Evolution Of The Tristan-Gough-Walvis Ridge Hotspot System: Age And Composition Of Expedition 391/397t Volcanic Basement, Katherine Elizabeth Potter
Funded Research Records
No abstract provided.
Collaborative Research: Rapid: Fault Rupture And Spring Sampling Of The 2023 Kahramanmaras, Turkey, Earthquake Sequence Ruptures, Alexis Ault, Dennis Lowell Newell
Collaborative Research: Rapid: Fault Rupture And Spring Sampling Of The 2023 Kahramanmaras, Turkey, Earthquake Sequence Ruptures, Alexis Ault, Dennis Lowell Newell
Funded Research Records
No abstract provided.
Representation Theory In Unoriented And Non-Semisimple Physics, Matthew Bruce Young
Representation Theory In Unoriented And Non-Semisimple Physics, Matthew Bruce Young
Funded Research Records
No abstract provided.
Dryland Soil Carbon Inventory, Brooke Osborne
Dryland Soil Carbon Inventory, Brooke Osborne
Funded Research Records
No abstract provided.
How Novices Write Code: Discovering Best Practices And How They Can Be Adopted, John Martin Edwards
How Novices Write Code: Discovering Best Practices And How They Can Be Adopted, John Martin Edwards
Funded Research Records
No abstract provided.
Exceptional Holography, Oscar Varela
The Hardy-Littlewood Inequalities For Some Almost Periodic Functions, Charlene Anae Myers
The Hardy-Littlewood Inequalities For Some Almost Periodic Functions, Charlene Anae Myers
Electronic Theses and Dissertations 2020 - Present
This work is a continuation of Boryshchak, Myers, and Sagher in [10], extending and refining results in the theory of almost periodic functions. New results are accompanied by proofs and unified methods using tools drawn from harmonic analysis, functional analysis, point set topology, the theory of charges (finitely additive measures), and mathematical logic. The central contribution of this work lies not only in its results, but in its exposition, which presents a coherent framework intended to bridge advanced research and graduate-level study, to further developments in related areas.
University Band & Wind Symphony Present: “Of Song And Dance”
University Band & Wind Symphony Present: “Of Song And Dance”
Bailey School of Music Concert Programs
David Roush, Conductor
Time-Resolved Ultrafast Infrared Spectroscopic Interrogation Of Intramolecular Reaction Coordinates, Valerie Winkler
Time-Resolved Ultrafast Infrared Spectroscopic Interrogation Of Intramolecular Reaction Coordinates, Valerie Winkler
Arts & Sciences Graduate Student Theses and Dissertations
Light-induced chemical transformations are practical across many chemical and biological systems. From intramolecular hydrogen-bonding coordinates to reactions which alter the carbon framework of a molecule, the application of light can induce conformational changes that can subsequently be harnessed for a variety of tasks. However, molecular-level mechanistic insight about photo-induced chemical reactions remains difficult to acquire using current methodologies. In this dissertation, several intramolecular reactions are investigated and characterized, ranging from ground- and excited-state intramolecular proton transfers to the photochemical synthesis of a complex organic cyclization structure. The reaction coordinates are directly interrogated by utilizing ultrafast infrared spectroscopic techniques, such as …
Re: Approval Letter For The Revised Butte Priority Soils Operable Unit (Bpsou) Butte Treatment Lagoons (Btl) Groundwater Treatment System Annual Operations, Maintenance, And Monitoring (Om&M) Plan – 2023 (Dated October 29, 2025), Emma Rott
Silver Bow Creek/Butte Area Superfund Site
No abstract provided.
Engineered Multifunctional Drug-Loaded Dendrimer Nanoparticles For Glaucoma: Triple Mechanism Via Antioxidant Activity, Iron Chelation, And Enhanced Ocular Transport, Burhan Ates, Ashish Trital, Vimalin Jeyalatha Mani, Lei Xu, Jonathan Kenlee, Nuran Ercal, Hu Yang
Engineered Multifunctional Drug-Loaded Dendrimer Nanoparticles For Glaucoma: Triple Mechanism Via Antioxidant Activity, Iron Chelation, And Enhanced Ocular Transport, Burhan Ates, Ashish Trital, Vimalin Jeyalatha Mani, Lei Xu, Jonathan Kenlee, Nuran Ercal, Hu Yang
Chemistry Faculty Research & Creative Works
In this study, we developed multifunctional nanoparticles based on polyamidoamine (PAMAM) dendrimers functionalized with caffeic acid (CA) and poly (ethylene glycol) maleimide (PEGM) for the topical delivery of hydrophobic antiglaucoma drugs brimonidine (BM) and betaxolol (BX). The PAMAM-CA and PAMAM-CA-PEGM conjugates exhibited antioxidant and iron-chelating activities in a dose-dependent manner. BM- and BX-loaded dendrimer nanoparticles produced using a multi-inlet vortex mixer showed uniform spherical morphology (∼80 nm by TEM) and hydrated sizes of ∼135-144 nm by DLS. Both nano formulations demonstrated high cytocompatibility with human corneal epithelial cells and were nonirritant in the HET-CAM assay, with PEGM further improving cytocompatibility. …